The splitting number of a graph $G=(V,E)$ is the minimum number of vertex splits required to turn $G$ into a planar graph, where a vertex split removes a vertex $v \in V$, introduces two new vertices $v_1, v_2$, and distributes the edges formerly incident to $v$ among its two split copies $v_1, v_2$. The splitting number problem is known to be NP-complete. In this paper we shift focus to the splitting number of graph drawings in $\mathbb R^2$, where the new vertices resulting from vertex splits can be re-embedded into the existing drawing of the remaining graph. We first provide a non-uniform fixed-parameter tractable (FPT) algorithm for the splitting number problem (without drawings). Then we show the NP-completeness of the splitting number problem for graph drawings, even for its two subproblems of (1) selecting a minimum subset of vertices to split and (2) for re-embedding a minimum number of copies of a given set of vertices. For the latter problem we present an FPT algorithm parameterized by the number of vertex splits. This algorithm reduces to a bounded outerplanarity case and uses an intricate dynamic program on a sphere-cut decomposition.
翻译:图形 $G= (V, E) 的分解数是将 G$ 转换为 planar 图形所需的顶点拆分最小数, 顶点拆分后, 将顶点拆后, 将顶点拆后, 将顶点拆后, 折叠后, 将前端分配为 $v_ 1, v_ 2美元。 分数问题已知是 NP 完成 。 在本文中, 我们将焦点转向 $\ mathbbb R $ 2 的平面图绘制分解数, 顶点拆后, 顶点拆后, 将新的顶点重新组合成现有图图绘制。 我们首先为分解数字问题提供非统一的固定参数(FPT) 缩放算法。 然后我们展示图表绘图中分解数字的完整度问题, 即使是在两个子题上, (1) 选择这个最低的顶点分组, 将一个最起码的顶点重新组合。